code: def run(csv_filename):
      with tempfile.TemporaryDirectory() as tmpdir:
          # Image Inputs
          image_dest_folder = os.path.join(tmpdir, "generated_images")
  
          # Inputs & Outputs
          input_features = [image_feature(folder=image_dest_folder)]
          output_features = [category_feature(output_feature=True)]
          data_csv = generate_data(
              input_features, output_features, csv_filename
          )
  
          config = {
              "input_features": input_features,
              "output_features": output_features,
              "combiner": {"type": "concat", "output_size": 14},
              TRAINER: {"epochs": 2, BATCH_SIZE: 128},
          }
  
          callback = CometCallback()
          model = LudwigModel(config, callbacks=[callback])
  
          # Wrap these methods so we can check that they were called
          callback.on_train_init = Mock(
              side_effect=callback.on_train_init
          )
          callback.on_train_start = Mock(
              side_effect=callback.on_train_start
          )
  
          with patch(
              "comet_ml.Experiment.log_asset_data"
          ) as mock_log_asset_data:
              # Training with csv
              _, _, _ = model.train(
                  dataset=data_csv,
                  output_directory=os.path.join(tmpdir, "output"),
              )
              model.predict(dataset=data_csv)
  
      # Verify that the experiment was created successfully
      assert callback.cometml_experiment is not None
  
      # Check that these methods were called at least once
      callback.on_train_init.assert_called()
      callback.on_train_start.assert_called()
  
      # Check that we ran `train_model`, which calls into `log_assert_data`, successfully
      mock_log_asset_data.assert_called()
  
file_path: ludwig/tests/integration_tests/scripts/run_train_comet.py
imports: import argparse
  import os
  import sys
  import tempfile
  from unittest.mock import Mock, patch
  import comet_ml
  from ludwig.api import LudwigModel
  from ludwig.constants import BATCH_SIZE, TRAINER
  from ludwig.contribs.comet import CometCallback
  from tests.integration_tests.utils import category_feature, generate_data, image_feature
label_desc: Use image node_id 1 for calling a global function with example usage: run(csv_filename) without return types